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Local feature model updates based on modifications to robot actions

机译:基于对机器人动作的修改来更新局部特征模型

摘要

PROBLEM TO BE SOLVED: To make an action feasible or to execute it accurately. A method, device, and computer-readable medium for determining and utilizing modifications to a robot action. Some implementations are intended to update the robot's local feature model in response to determining a human modification of the action performed by the robot. The local feature model is used to determine one or more features that most closely resemble the generated embedding, based on the embedding generated on the corresponding neural network model. Updating the local feature model in response to a human modification can include updating the feature embedding of the local feature model corresponding to the human modification. Adjustments to feature models (s) can quickly improve robot execution without the need for retraining of the corresponding neural network model. [Selection diagram] Fig. 1
机译:要解决的问题:使一项措施可行或准确执行。一种用于确定和利用对机器人动作的修改的方法,设备和计算机可读介质。一些实施方式旨在响应于确定对机器人执行的动作的人工修改来更新机器人的局部特征模型。基于在相应的神经网络模型上生成的嵌入,使用局部特征模型来确定与生成的嵌入最相似的一个或多个特征。响应于人类修改而更新局部特征模型可以包括更新与人类修改相对应的局部特征模型的特征嵌入。调整特征模型可以快速提高机器人的执行效率,而无需重新训练相应的神经网络模型。 [选择图]图1

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